Combining List Experiments and the Network Scale Up Method

Gustavo Díaz
McMaster University

@gusvalo

Verónica Pérez Bentancur
Universidad de la República
@veroperezben

Ines Fynn
Pontificia Universidad Católica de Chile

@ifynn_

Lucía Tiscornia
University College Dublin

@tiscornia21

 

Slides: gustavodiaz.org/maplemeth

# Packages
library(tidyverse)
── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.2     ✔ readr     2.1.4
✔ forcats   1.0.0     ✔ stringr   1.5.0
✔ ggplot2   3.4.2     ✔ tibble    3.2.1
✔ lubridate 1.9.2     ✔ tidyr     1.3.0
✔ purrr     1.0.1     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(DeclareDesign)
Loading required package: randomizr
Loading required package: fabricatr
Loading required package: estimatr

Attaching package: 'DeclareDesign'

The following object is masked from 'package:dplyr':

    vars

The following object is masked from 'package:ggplot2':

    vars
library(kableExtra)

Attaching package: 'kableExtra'

The following object is masked from 'package:dplyr':

    group_rows
# ggplot global options
theme_set(theme_gray(base_size = 20))

First slide

Hello!